Chi-plots for assessing dependence

Chi-plots for assessing dependence
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DOI:
10.1093/biomet/72.2.253
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发表时间:
1985-08
期刊:
影响因子:
2.7
通讯作者:
N. Fisher;P. Switzer
N. Fisher;P. Switzer
中科院分区:
数学2区
文献类型:
--
作者:
N. Fisher;P. Switzer

文献摘要

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摘要本文提出了一种图形方法,结合散点图,调查可能的关联,表现在一个样本的双变量测量的两个变量。该方法的设计,使情节是近似水平的独立下,并在各种形式的关联,它产生相应的特征模式。给出的例子包括应用研究回归残差,两个空间点过程的依赖性,时间序列的串行关联,以及两个时间序列的比较。
SUMMARY This paper presents a graphical method to be used, in conjunction with a scatterplot, to investigate possible association of two variates as manifested in a sample of bivariate measurements. The method is designed so that the plot is approximately horizontal under independence, and under various forms of association it produces corresponding characteristic patterns. Examples given include application to study of regression residuals, dependence of two spatial point processes, serial association of time series, and comparison of two time series.